好的,谢谢谢你!
O
o2uv
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o2uv 发布的帖子
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想问一下openMV能不能实现同时完成对小车和云台都追人脸
能不能用openMV4同时完成小车追人脸和云台追人脸功能???想知道这能不能结合做出来,小车和云台都是选择星瞳科技官方的设备
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怎么修改这个程序,让它能串口发出最大可能性的垃圾类型?
import sensor, image, time, os, tf import json from pyb import UART sensor.reset() # Reset and initialize the sensor. sensor.set_pixformat(sensor.RGB565) # Set pixel format to RGB565 (or GRAYSCALE) sensor.set_framesize(sensor.QVGA) # Set frame size to QVGA (320x240) sensor.set_windowing((240, 240)) # Set 240x240 window. sensor.skip_frames(time=2000) # Let the camera adjust. net = "trained.tflite" labels = [line.rstrip('\n') for line in open("labels.txt")] clock = time.clock() uart = UART(3, 115200) uart.init(115200, bits=8, parity=None, stop=1) while(True): clock.tick() img = sensor.snapshot() # default settings just do one detection... change them to search the image... for obj in tf.classify(net, img, min_scale=1.0, scale_mul=0.8, x_overlap=0.5, y_overlap=0.5): print("**********\nPredictions at [x=%d,y=%d,w=%d,h=%d]" % obj.rect()) img.draw_rectangle(obj.rect()) # This combines the labels and confidence values into a list of tuples predictions_list = list(zip(labels, obj.output())) for i in range(len(predictions_list)): print("%s = %f" % (predictions_list[i][0], predictions_list[i][1])) print(clock.fps(), "fps") uart.write(predictions_list)